Kaspersky
secures thegoods.ru
marketplace andits customers
from cyberfraudKaspersky secures the goods.ru marketplaceand its customers from cyberfraud
goods.ru is a subsidiary of M.Video and a prominent representative of an organization that’s focusedon e-commerce. Since September 2017, customers of the online service have had access to thousandsof products from leading online stores across Russia: from electronics and building materials to sports
nutrition.

E-commerce••••••••

Subsidiary of M.VideoFounded in 2016
Headquartered in Moscow, Russia
Over 700,000 products from various
categories
Approximately 3 million users per monthOver 5,000 orders per day
Turnover of $15 million in Q4 2018
Uses Kaspersky Fraud Prevention“As a rule, the more
profitable a loyalty
program is, the moreinteresting it is tocybercriminals. This isbecause illegal activity
involving these programs
requires less investment
than fraud in the banking
sector and doesn’t pose
any particular risks for
those committing it.
Our solution prevents
account theft byusing advanced
analytical tools andin no way interfereswith the convenienceof legitimate usersof the service”
Evgenia Naumova,
Head of corporate sales,
Kaspersky Russia

In the fourth quarter of 2018, the company received orders for more than $15 million.
The affiliate network is currently made up of more than 1,500 online stores andmanufacturers. The goods.ru product range makes up 60% of the target audience’s
annual basket of consumer goods.
The goods.ru service approach to business enables the company to attract more loyal
customers, increase the volume of repeat orders and amount spent, and also maintainthe company’s reputation as a reliable partner. The key advantages of goods.ru are themarketplace’s ease of use, its wide range of products and unique ‘composite’ loyalty
program. The uniqueness of the loyalty program is achieved through a combinationof various incentive mechanisms for the buyer during registration and purchase –‘welcome’ bonuses, accumulation of bonus points for subsequent purchases, cashbackand discounts. More than half of first-time goods.ru customers make a secondpurchase within 30 days.

Challenge
Unfortunately, profitable loyalty programs attract the attention of not only genuine
buyers but also fraudsters. The main threats to online loyalty programs are the theft ofaccounts belonging to regular customers and the creation of fake accounts.
Fraudsters can pursue different goals, such as the resale of bonuses and the goodsbought with them, receiving gifts and participating in promotions using several
accounts at the same time.
This abuse of loyalty programs leads to a number of problems for the company:
reputational risks, false information about the number of clients, the threat of malicious
code being introduced into the platform to automatically steal accounts and otherfraudulent activities.
“At the outset and with the subsequent growth of the project, the team was faced withthe problem of tracking dishonest users who hacked accounts, intercepted sessions
and fraudulently obtained bonus points when making a purchase via an accountbelonging to a legitimate customer,” commented Valentin Shkulov, fraud analyst atgoods.ru.

The Kaspersky solution
In order to achieve a leading position in the online sales market, goods.ru pursues anintegrated approach to combating fraud. Companies have to take into account manyfactors and maintain a balance between the convenience of a service and security.
How do you preserve the attractiveness of the platform for bona fide users
while tracking fraudulent activities?
Placing restrictions on a loyalty program to combat fraudsters will significantly reduce
the appeal of an online sales platform for regular customers. Identifying unscrupulous
users only by analyzing the history of orders gives an incomplete picture of theirbehavior.
After analyzing the online fraud prevention solutions available on the market, goods.
ru chose Kaspersky Fraud Prevention. The main criteria for choosing Kaspersky Fraud
Prevention were: a full range of proactive detection technologies for advanced fraud
schemes, the use of machine learning, the unique expertise of the Kaspersky fraud
analysts in the field of combating information threats and the ability to predict how
they will develop.

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“As a result ofcollaborating withour colleagues fromKaspersky Fraud
Prevention, we wereable to build a system
for the most completemonitoring of fraudulent
activity and create anextensive map of illegal
scheme patterns”
Valentin Shkulov,
fraud analyst at goods.ruResults
The cost of implementing a pilot of Kaspersky Fraud Prevention with machine learningtechnology and setting up the system for the company’s needs was minimal, and thesolution quickly demonstrated its effectiveness. Switching Kaspersky’s protection
to full-fledged operations allowed the information security specialists to halve thenumber of fraudulent transactions and achieve an 87% match between the verdicts ofKaspersky Fraud Prevention and internal analytics data.
“As a result of collaborating with our colleagues from Kaspersky Fraud Prevention, wewere able to build a system for the most complete monitoring of fraudulent activity
and create an extensive map of illegal scheme patterns,” concluded Valentin Shkulov,
fraud analyst at goods.ru.
“As a rule, the more profitable a loyalty program is, the more interesting it is tocybercriminals. This is because illegal activity involving these programs requires lessinvestment than fraud in the banking sector and doesn’t pose any particular risks for
those committing it. Our solution prevents account theft by using advanced analytical
tools and in no way interferes with the convenience of legitimate users of the service,”
explained Evgenia Naumova, head of corporate sales for Kaspersky in Russia.
Thanks to the implementation of Kaspersky Fraud Prevention, goods.ru was able toprovide its customers high-precision protection against the theft of user accounts andaccumulated bonuses, while protecting its own systems from malicious users.

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Automated Fraud Analytics• Real-time detection and analysis ofin-session events• Identification of new account fraud,money laundering and account takeoverincidents• Global entity linking and mapping

True Machine Learning

Forensic Capabilities

Advanced Authentication• RBA functionality• Continuous authentication• Reduced second factor costs

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